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library(tbeploads)

The domestic point source (DPS) functions are designed to work with raw entity data provided by partners. The core function is anlz_dps_facility() that requires only a vector of file paths as input, where each path points to a file with monthly parameter concentration (mg/L) and flow data (million gallons per day). The data also describe whether the observations are end of pipe (direct inflow to the bay) or reuse (applied to the land), with each defined by outfall Ids typically noted as D-001, D-002, etc. and R-001, R-002, etc, respectively. Both are estimated as concentration times flow, whereas reuse includes an attenuation factor for land application depending on location. The file names must follow a specific convention, where metadata for each entity is found in the facilities data object using information in the file name.

For convenience, four example files are included with the package. These files represent actual entities and facilities, but the data have been randomized. The paths to these files are used as input to the function. Non-trivial data pre-processing and quality control is needed for each file and those included in the package are the correct format. The output is returned as tons per month for TN, TP, TSS, and BOD and million cubic meters per month for flow (hy).

dpsfls <- list.files(system.file('extdata/', package = 'tbeploads'),
  pattern = 'ps_dom', full.names = TRUE)
anlz_dps_facility(dpsfls)
#> # A tibble: 144 × 11
#>     Year Month entity  facility coastco source tn_load tp_load tss_load bod_load
#>    <int> <int> <chr>   <chr>    <chr>   <chr>    <dbl>   <dbl>    <dbl>    <dbl>
#>  1  2021     1 Clearw… City of… 387     D-001    0.862  6.04     0.452     1.14 
#>  2  2021     2 Clearw… City of… 387     D-001    1.37   1.15     0.553     2.87 
#>  3  2021     3 Clearw… City of… 387     D-001    1.70   0.575    0.982     3.31 
#>  4  2021     4 Clearw… City of… 387     D-001    0.344  0.0801   0.105     0.656
#>  5  2021     5 Clearw… City of… 387     D-001    1.09   0.460    0.603     2.23 
#>  6  2021     6 Clearw… City of… 387     D-001    0.641  0.435    0.248     0.588
#>  7  2021     7 Clearw… City of… 387     D-001    0.667  0.183    0.360     1.33 
#>  8  2021     8 Clearw… City of… 387     D-001    0.138  0.164    0.0601    0.327
#>  9  2021     9 Clearw… City of… 387     D-001    0.421  1.63     0.281     0.655
#> 10  2021    10 Clearw… City of… 387     D-001    1.15   0.217    0.563     0.666
#> # ℹ 134 more rows
#> # ℹ 1 more variable: hy_load <dbl>

The anlz_dps() function uses anlz_dps_facility() to summarize the DPS results by location as facility (combines outfall data), entity (combines facility data), bay segment (combines entity data), and as all (combines bay segment data). The results can also be temporally summarized as monthly or annual totals. The location summary is defined by the summ argument and the temporal summary is defined by the summtime argument. The fls argument used by anlz_dps_facility() is also used by anlz_dps(). The output is tons per month for TN, TP, TSS, and BOD and as million cubic meters per month for flow (hy) if summtime = 'month' or tons per year for TN, TP, TSS, and BOD and million cubic meters per year for flow (hy) if summtime = 'year'.

# combine by entity and month
anlz_dps(dpsfls, summ = 'entity', summtime = 'month')
#> # A tibble: 108 × 10
#>     Year Month source   entity segment tn_load tp_load tss_load bod_load hy_load
#>    <int> <int> <chr>    <chr>  <chr>     <dbl>   <dbl>    <dbl>    <dbl>   <dbl>
#>  1  2021     1 DPS - e… Clear… Old Ta…  0.862  6.04     0.452    1.14     0.663 
#>  2  2021     1 DPS - r… Clear… Old Ta…  0.102  0.00852  0.00844  0.0473   0.165 
#>  3  2021     2 DPS - e… Clear… Old Ta…  1.37   1.15     0.553    2.87     0.948 
#>  4  2021     2 DPS - r… Clear… Old Ta…  0.210  0.0416   0.0169   0.0244   0.319 
#>  5  2021     3 DPS - e… Clear… Old Ta…  1.70   0.575    0.982    3.31     1.83  
#>  6  2021     3 DPS - r… Clear… Old Ta…  0.261  0.0439   0.0194   0.0554   0.417 
#>  7  2021     4 DPS - e… Clear… Old Ta…  0.344  0.0801   0.105    0.656    0.194 
#>  8  2021     4 DPS - r… Clear… Old Ta…  0.0472 0.00602  0.00245  0.00499  0.0563
#>  9  2021     5 DPS - e… Clear… Old Ta…  1.09   0.460    0.603    2.23     0.874 
#> 10  2021     5 DPS - r… Clear… Old Ta…  0.0354 0.00281  0.00298  0.00885  0.0729
#> # ℹ 98 more rows

# combine by bay segment and year
anlz_dps(dpsfls, summ = "segment", summtime = "year")
#> # A tibble: 9 × 8
#>    Year source            segment      tn_load tp_load tss_load bod_load hy_load
#>   <int> <chr>             <chr>          <dbl>   <dbl>    <dbl>    <dbl>   <dbl>
#> 1  2017 DPS - end of pipe Hillsboroug…   0.891 1.20e-1  2.90e-1  6.92e-1 5.25e-1
#> 2  2017 DPS - reuse       Hillsboroug… 464.    2.94e+1  5.10e+1  1.70e+2 1.10e+3
#> 3  2018 DPS - end of pipe Hillsboroug… 102.    1.49e+1  3.58e+1  8.24e+1 6.43e+1
#> 4  2018 DPS - reuse       Hillsboroug…  28.6   8.80e-1  1.82e+0  4.88e+0 3.95e+1
#> 5  2019 DPS - end of pipe Hillsboroug…  14.4   1.63e+0  2.92e+0  9.17e+0 6.55e+0
#> 6  2019 DPS - reuse       Hillsboroug…   4.21  8.47e-2  1.33e-1  5.20e-1 3.82e+0
#> 7  2021 DPS - reuse       Hillsboroug…   2.90  1.61e-9  1.61e-9  1.61e-9 1.76e+0
#> 8  2021 DPS - end of pipe Old Tampa B…   8.62  1.11e+1  4.34e+0  1.43e+1 7.35e+0
#> 9  2021 DPS - reuse       Old Tampa B…   1.48  2.35e-1  1.19e-1  7.17e-1 2.39e+0